Metaflow VS Heroku

Metaflow Reviews

Heroku Reviews

1. mark-mercer

   over 3 years ago
   Useful Cloud Platform

   Great service to build, run and manage applications entirely in the cloud!

   🏁 Competitors: Amazon AWS, Dokku on Digital Ocean, Firebase

   👍 Pros:    Easy user interface|Good customer service|Multi-language cloud application platform

   👎 Cons:    Limitation with some addons|Low network performance
2. jamestelford

   | Full Stack Developer at OutDev | about 4 years ago
   🏁 Competitors: Docker, Amazon AWS

   👍 Pros:    Powerful development environments|Great value for the money|Great customer support|Paas

Metaflow mentions (12)

• What are some open-source ML pipeline managers that are easy to use?

  I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year ago

• Needs advice for choosing tools for my team. We use AWS.

  1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago

• Selfhosted chatGPT with local contente

  Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 1 year ago

• [OC] Gender diversity in Tech companies

  They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago

• Going to Production with Github Actions, Metaflow and AWS SageMaker

  Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / almost 2 years ago

Heroku mentions (71)

• How to keep an HTTP connection alive for 9 hours

  The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / 7 months ago

• How to Process Scheduled Queue Jobs in Node.js with BullMQ and Redis on Heroku

  Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / 9 months ago

• I made a Bot.. How do I use it?

  Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: 11 months ago

• Making AJAX Applications Crawlable? How to build a simple web service on Google App Engine to produce HTML Snapshots?

  I have my app hosted on Heroku, who (to my knowledge) are unable to offer a solution for running a Headless (GUI-less) Browser - such as HTMLUnit - for generating HTML Snapshots for Googlebot to index my AJAX content. Source: 12 months ago

• Engineers who have a personal website/blog, what are you using to host/generate it?

  Over the years, I’ve gone from Time Warner’s Road Runner, to Tumblr, to GitHub Pages, to Godaddy hosted WordPress. Though, after Godaddy messed up a migration, I switched to self-hosting on Heroku. I wrote my blog engine using Crystal. Reference: ejstembler.com. Source: about 1 year ago